首页|New Machine Learning Findings from University of Tenaga Nas Discussed (Investiga tion of Machine Learning Models In Predicting Compressive Strength for Ultra-hig h-performance Geopolymer Concrete: a Comparative Study)
New Machine Learning Findings from University of Tenaga Nas Discussed (Investiga tion of Machine Learning Models In Predicting Compressive Strength for Ultra-hig h-performance Geopolymer Concrete: a Comparative Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Selangor, Malaysia, by NewsRx j ournalists, research stated, “Ultra-high-performance geopolymerconcrete (UHPGC) is a new category of traditional UHPC developed to meet the desire for ultra-hi ghstrengthand green building materials. In the current study, random forest (R F), support vector regression(SVR), and extreme gradient boosting (XGB) are use d to forecast the compressive strength (CS) ofUHPGC.”
SelangorMalaysiaAsiaCyborgsEmerg ing TechnologiesMachine LearningUniversity of Tenaga Nas
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